LLMs Based Approach for Quranic Question Answering

Zakia Saadaoui; Zakia Saadaoui; Ghassen Tlig; Fethi Jarray; Fethi Jarray

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Paper

LLMs Based Approach for Quranic Question Answering

Topics: Artificial Intelligence for the Web; Generative AI Application Development and LLM Engineering

In Proceedings of the 20th International Conference on Web Information Systems and Technologies WEBIST - Volume 1, 112-118, 2024 , Porto, Portugal

Authors: Zakia Saadaoui ^{1

;

2} ; Ghassen Tlig ³ and Fethi Jarray ^{1

;

2}

Affiliations: ¹ LIMTIC Laboratory, UTM University, Tunisia ; ² Higher Institute of Computer Science of Medenine, Tunisia ; ³ Ecole Supérieure d’Electronique de l’Ouest, Paris, France

Keyword(s): Quranic QAS, LLM, Prompt Engineering.

Abstract: This paper addresses a prominent research gap in Quranic question answering, where current methodologies face challenges in capturing the nuanced aspects of inquiries related to the Quran. By presenting an innovative approach that utilizes Large Language Models (LLMs), including GPt4, Bart, and LLAMA, we aim to overcome these limitations, improving the clarity and precision of responses to Quranic queries. The evaluation of the proposed Quranic Question Answering System, using the F1 score metric, demonstrates encouraging results in comprehending and addressing various Quranic queries. Notably, the application of a chain of thought with Bart achieves an impressive F1-score of 95%. This research offers a distinctive perspective on Quranic question answering through the integration of LLMs.

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Paper citation in several formats:

Saadaoui, Z., Tlig, G. and Jarray, F. (2024). LLMs Based Approach for Quranic Question Answering. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-718-4; ISSN 2184-3252, SciTePress, pages 112-118. DOI: 10.5220/0013012900003825

@conference{webist24,
author={Zakia Saadaoui and Ghassen Tlig and Fethi Jarray},
title={LLMs Based Approach for Quranic Question Answering},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - WEBIST},
year={2024},
pages={112-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013012900003825},
isbn={978-989-758-718-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - WEBIST
TI - LLMs Based Approach for Quranic Question Answering
SN - 978-989-758-718-4
IS - 2184-3252
AU - Saadaoui, Z.
AU - Tlig, G.
AU - Jarray, F.
PY - 2024
SP - 112
EP - 118
DO - 10.5220/0013012900003825
PB - SciTePress